ADAS Patents: Top Companies, Trends & White Space 2026
- 35.1% of all records sit with just five assignees, yet the ranked list runs 100 companies deep with a long tail below tenth place.
- Filing held roughly flat, down only 6% from 2021 to 2024 after peaking in 2022 at 2,557 records — not a field in decline.
- B60W vehicle control dominates at 21.2%, while traffic-control filings (G08G) trail at 8.7%, suggesting infrastructure-facing ADAS claims remain comparatively thin.
Filing growth compares 2021 (2,161 records) with 2024 (2,023) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 25,870 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This landscape maps 25,870 published records matched against ADAS-specific terms spanning lane detection, object detection, collision warning, driver monitoring, adaptive cruise control and sensor fusion. The scope runs from 2015 through the 2026-08-31 data cut-off, though publication typically lags filing by around 18 months, so the most recent one to two years understate actual filing activity. Records carry IPC classifications across multiple subclasses at once, reflecting how ADAS patents routinely blend vehicle control, perception and communications claims in a single filing.
Coverage draws primarily on filings routed through the United States, with substantial volume also filed at the EPO, via the WIPO PCT route, and in the United Kingdom, Australia and Canada. That distribution reflects where ADAS developers seek enforceable rights first, not where R&D physically happens.
Filing trends and technology composition
Two views of the same 25,870-record set: how filing volume has moved year over year, and how records distribute across the IPC subclasses that define ADAS subject matter.
Filing trend, 2017-2026
Annual filings rose from 1,368 in 2017 to a peak of 2,557 in 2022, then eased to 2,023 by 2024 — a 6% pullback over that three-year span, not a collapse. 2025 and 2026 figures (down to 148 by 2026) reflect publication lag rather than an actual drop in filing.
Technology composition by IPC subclass
B60W (hybrid/joint vehicle control) leads at 21.2% of records, followed by image and video recognition (G06V, 13.7%) and radar/positioning (G01S, 13.0%). Traffic control systems (G08G, 8.7%) sit at the bottom of the eight tracked subclasses, marking it as the least-claimed of the core ADAS-adjacent categories.
Shares are the percentage of the 25,870 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Advanced Driver-Assistance Systems Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about advanced driver-assistance systems patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaMost-cited records in the corpus
WO2022140660A1 — Terrain-based insights for ADAS
The systems and methods described herein are related to terrain-based insights for advanced driver assistance systems (ADAS) in vehicles. Such terrain-based insights may be related to ADAS features such as adaptive cruise control, lane keep assist, automatic emergency braking, collision avoidance, and/or speed adaptation, among others.Filed by ClearMotion, Inc., published 2022-06-30.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US5983161A | GPS vehicle collision avoidance warning and control system and method | 1,374 |
| 2 | US20190258251A1 | Systems and methods for safe and reliable autonomous vehicles | 1,048 |
| 3 | US20200284883A1 | Component for a lidar sensor system, lidar sensor system, lidar sensor device, method for a lidar sensor syst… | 1,018 |
| 4 | US20210144517A1 | Multi-entity resource, security, and service management in edge computing deployments | 845 |
| 5 | US10315566B2 | Vehicle control device mounted on vehicle and method for controlling the vehicle | 839 |
| 6 | US6487500B2 | GPS vehicle collision avoidance warning and control system and method | 810 |
| 7 | US7124027B1 | Vehicular collision avoidance system | 733 |
| 8 | US20120062743A1 | Alert system for vehicle | 679 |
| 9 | US20200294401A1 | A Method and Apparatus for Collecting and Using Sensor Data from a Vehicle | 615 |
| 10 | US5465079A | Method and apparatus for determining driver fitness in real time | 554 |
Citation counts reflect influence within this searched corpus and skew toward older filings — treat them as a signal of prior-art weight, not of current commercial relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Three patterns stand out once the concentration, trend and composition figures are read together.
The top of the field is dense, the rest is thin
Five assignees hold 9,085 of the 25,870 records in scope. Below tenth place, filing counts drop off sharply into a long tail — most of the ranked 100 companies hold a small fraction of the leader's volume, which means most of the field's own claim space is set by a handful of players.
Flat, not falling
Filing volume moved from 2,161 records in 2021 to 2,023 in 2024, a modest 6% pullback after the 2022 peak of 2,557. Given the roughly 18-month publication lag, the sharper-looking decline visible in 2025-2026 figures is an artefact of incomplete publication, not a real slowdown.
Vehicle-control claims dominate perception claims
B60W (hybrid/joint vehicle control) covers more records than any single perception-focused class, ahead of image recognition (G06V, 13.7%) and radar/positioning (G01S, 13.0%). Traffic control systems (G08G, 8.7%) is the smallest of the eight tracked subclasses, pointing to comparatively lighter claim coverage on infrastructure-facing ADAS functions.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to advanced driver-assistance systems patent landscape, with the prior art for and against each one.
Who is filing, and how fast they are moving now
The leader board is concentrated at the very top, but recent-year momentum shows even the largest filers pulling back from peak filing rates — a pattern consistent with publication lag rather than retreat from the field.
A single leader well ahead of the field
The top-ranked assignee holds 3,049 records, more than double the fifth-place total of 1,051. That gap defines the shape of the whole ranking: one dominant filer, a cluster of large automotive and semiconductor players behind it, then a long tail.
Even top filers show sharp latest-year pullback
The leading assignee logged 68 records in the latest year, down 72% year-on-year; other major filers show similar or steeper drops. This is consistent with the roughly 18-month publication lag affecting the most recent filing years across the whole dataset, not necessarily a real slowdown in R&D.
Automotive OEM pairs dominate co-filing
The strongest co-assignee relationship in the dataset links two major automotive manufacturers at 305 shared records, far ahead of the next-strongest pairs. Co-filing here tracks corporate group structure — OEM and parts-subsidiary pairs — more than arm's-length technology partnerships.
| Assignee | Recent year | YoY |
|---|---|---|
| NVIDIA Corporation | 68 | -72% |
| Mobileye Vision Technologies Ltd. | 9 | -88% |
| Qualcomm Incorporated | 5 | -93% |
| LG Electronics Inc. | 4 | -56% |
| Sony Semiconductor Solutions Corporation | 2 | -89% |
| Toyota Motor Corporation | 2 | -93% |
| Sony Group Corporation | 1 | -80% |
| HERE Global B.V. | 1 | -83% |
Where to take this analysis
The dataset points to specific next steps depending on whether the goal is freedom-to-operate, portfolio positioning, or identifying open claim space.
Map freedom-to-operate against the top filers
With 35.1% of records held by five assignees, any new ADAS filing in vehicle-control or perception subject matter should be checked against their active claims before drafting.
Run a freedom-to-operate checkProbe the under-claimed branches
Traffic-infrastructure and edge-computing-adjacent ADAS functions show lighter filing density than core vehicle control — worth a focused prior-art search before assuming the space is occupied.
Explore white space with EurekaTrack momentum, not just totals
Latest-year YoY figures are depressed by publication lag across the board; re-run this trend analysis in 12-18 months once 2025-2026 filings have fully published.
Set up a filing alertFrequently asked questions
One assignee leads the ranked list with 3,049 records, more than double the fifth-placed company's 1,051. The top five assignees combined account for 35.1% of all 25,870 records in scope, and the top ten reach 48.7%. Below that, the ranking runs to 100 companies with a long tail of much smaller filers, so 'leading' in this field means a handful of large automotive, semiconductor and mapping companies plus a wide base of smaller contributors.
Filing volume peaked in 2022 at 2,557 records and moved from 2,161 in 2021 to 2,023 in 2024, a 6% decline over that span — essentially flat rather than a real slowdown. Figures for 2025 and 2026 look much lower, but that reflects the roughly 18-month lag between filing and publication, not an actual drop in R&D activity. Any conclusion about the field 'slowing' should rely on 2024 or earlier, since later years are still filling in.
The largest single IPC subclass is B60W, covering hybrid and joint vehicle control, at 21.2% of the 25,870 records in scope. Image and video recognition (G06V, 13.7%) and radar/positioning (G01S, 13.0%) follow closely behind, reflecting the perception side of ADAS. Traffic control systems (G08G) sit at the lower end at 8.7%, suggesting infrastructure-facing ADAS functionality is comparatively less claimed than in-vehicle control and perception.
The composition data shows traffic-infrastructure interoperability and edge-computing resource management for sensor fusion sitting below the density of core vehicle-control and perception classes, which makes them worth a targeted prior-art search. This does not mean the space is empty — G08G alone still covers 8.7% of records — but relative to B60W's 21.2% it is comparatively lighter ground. A first claim there would typically need to tie a specific infrastructure signal or edge-resource allocation method to a defined ADAS function rather than claim the function broadly.
WO2022140660A1, filed by ClearMotion, Inc. and published 2022-06-30, describes systems and methods that use terrain-based insights to inform ADAS features including adaptive cruise control, lane keep assist, automatic emergency braking, collision avoidance and speed adaptation. It sits within the broader ADAS patent landscape alongside heavily-cited prior art on GPS-based collision warning and lidar sensor systems. Anyone building terrain-adaptive control logic for these specific ADAS features should review its claims directly rather than assume the general function is unclaimed.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.